{"id":"pdf-extraction-mcp-server","name":"pdf-extraction-mcp-server","homepage":"https://pypi.org/project/pdf-extraction-mcp-server/","repo_url":null,"category":"infrastructure","subcategories":[],"tags":["mcp","pdf","document-extraction","ai-agent-integration"],"what_it_does":"An MCP server intended to extract information from PDF documents (typically via text/content extraction and optional parsing), exposing that capability to AI agents through the Model Context Protocol (MCP).","use_cases":["Extracting text from PDFs for downstream analysis","Turning invoice/contract PDFs into structured data for RAG pipelines","Letting an AI agent ingest PDFs via tools rather than custom ingestion code"],"not_for":["Highly accurate layout-to-structure extraction where OCR + table detection quality is critical (unless explicitly documented)","Mission-critical environments without verified security hardening and operational guidance","Use cases requiring a public REST/GraphQL API"],"best_when":"When you want agent-callable PDF extraction and you already have an MCP-capable agent runtime.","avoid_when":"When you require strict guarantees around OCR quality, structured extraction fidelity, or well-specified operational/security controls from published docs.","alternatives":["Standalone PDF parsers (e.g., pdfplumber / PyMuPDF) integrated directly into your app","OCR-first pipelines (e.g., Tesseract + document/layout tools) for scanned documents","Hosted document AI extraction services (vendor-specific) with REST APIs"],"af_score":35.0,"security_score":25.0,"reliability_score":22.5,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:48:59.476063+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"No authentication details could be verified from the provided information. MCP servers commonly run locally/in-cluster, but this should be confirmed in the repo docs."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Pricing not applicable/unknown for a server repository package."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":35.0,"security_score":25.0,"reliability_score":22.5,"mcp_server_quality":45.0,"documentation_accuracy":35.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":60.0,"rate_limit_clarity":0.0,"tls_enforcement":30.0,"auth_strength":20.0,"scope_granularity":0.0,"dependency_hygiene":40.0,"secret_handling":40.0,"security_notes":"Authentication, authorization, and TLS requirements are not verifiable from the provided information. MCP servers that process user-supplied PDFs should be hardened against path traversal, unsafe file handling, and prompt/tool output injection via extracted text. Confirm transport security, file upload/input handling, and whether secrets are logged.","uptime_documented":0.0,"version_stability":30.0,"breaking_changes_history":30.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["PDF extraction quality may vary by PDF type (born-digital vs scanned) and may require OCR that may or may not be included.","Large PDFs can cause long processing times or tool timeouts; agents should handle partial failures gracefully.","If the server streams/returns large text outputs, agents may hit context-length limits—chunking strategy may be necessary."]}}